SRC/dlaqps.f(3)

NAME
SRC/dlaqps.f

SYNOPSIS

  Functions/Subroutines
subroutine dlaqps (m, n, offset, nb, kb, a, lda, jpvt, tau, vn1, vn2, auxv, f, ldf)
DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Function/Subroutine Documentation

  subroutine dlaqps (integer m, integer n, integer offset, integer nb, integer kb, double precision, dimension( lda, * ) a, integer lda, integer, dimension( * ) jpvt, double precision, dimension( * ) tau, double precision, dimension( * ) vn1, double precision, dimension( * ) vn2, double precision, dimension( * ) auxv, double precision, dimension( ldf, * ) f, integer ldf)

DLAQPS computes a step of QR factorization with column pivoting of a real m-by-n matrix A by using BLAS level 3.

Purpose:

    !>
    !> DLAQPS computes a step of QR factorization with column pivoting
    !> of a real M-by-N matrix A by using Blas-3.  It tries to factorize
    !> NB columns from A starting from the row OFFSET+1, and updates all
    !> of the matrix with Blas-3 xGEMM.
    !>
    !> In some cases, due to catastrophic cancellations, it cannot
    !> factorize NB columns.  Hence, the actual number of factorized
    !> columns is returned in KB.
    !>
    !> Block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.
    !>

Parameters
    M

    !>          M is INTEGER
    !>          The number of rows of the matrix A. M >= 0.
    !>

    N

    !>          N is INTEGER
    !>          The number of columns of the matrix A. N >= 0
    !>

    OFFSET

    !>          OFFSET is INTEGER
    !>          The number of rows of A that have been factorized in
    !>          previous steps.
    !>

    NB

    !>          NB is INTEGER
    !>          The number of columns to factorize.
    !>

    KB

    !>          KB is INTEGER
    !>          The number of columns actually factorized.
    !>

    A

    !>          A is DOUBLE PRECISION array, dimension (LDA,N)
    !>          On entry, the M-by-N matrix A.
    !>          On exit, block A(OFFSET+1:M,1:KB) is the triangular
    !>          factor obtained and block A(1:OFFSET,1:N) has been
    !>          accordingly pivoted, but no factorized.
    !>          The rest of the matrix, block A(OFFSET+1:M,KB+1:N) has
    !>          been updated.
    !>

    LDA

    !>          LDA is INTEGER
    !>          The leading dimension of the array A. LDA >= max(1,M).
    !>

    JPVT

    !>          JPVT is INTEGER array, dimension (N)
    !>          JPVT(I) = K <==> Column K of the full matrix A has been
    !>          permuted into position I in AP.
    !>

    TAU

    !>          TAU is DOUBLE PRECISION array, dimension (KB)
    !>          The scalar factors of the elementary reflectors.
    !>

    VN1

    !>          VN1 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the partial column norms.
    !>

    VN2

    !>          VN2 is DOUBLE PRECISION array, dimension (N)
    !>          The vector with the exact column norms.
    !>

    AUXV

    !>          AUXV is DOUBLE PRECISION array, dimension (NB)
    !>          Auxiliary vector.
    !>

    F

    !>          F is DOUBLE PRECISION array, dimension (LDF,NB)
    !>          Matrix F**T = L*Y**T*A.
    !>

    LDF

    !>          LDF is INTEGER
    !>          The leading dimension of the array F. LDF >= max(1,N).
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

Definition at line 175 of file dlaqps.f.

Author

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